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CI&T

Senior Business Intelligence Analyst/Engineer

CI&T

Senior BI Analyst / Engineer at CI&T focusing on transforming AI potential into business impact. Engaging in analytics and data engineering to drive logistics optimization and decision-making.

Posted 7/2/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining analytical models and dashboards using Power BI and Tableau, alongside advanced SQL and Python skills for data processing and automation. Strong analytical capabilities support data-driven decision-making and effective communication with stakeholders in Agile environments.

Highest-signal resume keywords
Power BI Dashboard DevelopmentTableau Analytical ModelingAdvanced SQL ProficiencyPython Scripting for AutomationAgile/Scrum Project Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Analytical ModelingData EngineeringData IntegrationComplex SQL QueriesRegex UsageData Processing WorkflowsData InterpretationData-Driven Decision MakingTask ManagementProblem Solving
Soft Skills
Strong CommunicationPrioritizationCollaborationAdaptabilityStakeholder Engagement
Tools & Technologies
Power BITableauJiraAzure Data FactoryAzure Synapse AnalyticsAzure DatabricksAzure Data Lake
Industry Keywords
Business IntelligenceData GovernanceData QualityLogisticsSupply Chain

Tech Stack

Tools & technologies
AzureCloudPythonSQLTableau

About the role

Key responsibilities & impact
  • Design, build, and maintain analytical models and dashboards in Power BI and Tableau, delivering clear and actionable insights on operational performance and business KPIs.
  • Analyze data to identify trends, patterns, and improvement opportunities, transforming findings into concrete recommendations that support strategic and operational decision-making.
  • Develop complex SQL queries, including advanced use of regex and leverage Python for scripting, automation, and data processing workflows that support analytical models.
  • Adopt and promote best practices in data engineering, data modeling, and data integration, ensuring the reliability, scalability, and performance of analytical solutions end-to-end.
  • Guide application and business teams on data interpretation and usage, acting as a trusted analytical reference and actively contributing to building a data-driven decision-making culture within the team.
  • Independently engage with business and technology teams to gather, clarify, and validate analytical requirements, ensuring solutions are aligned with real business needs.
  • Manage tasks end-to-end within Agile/Scrum environments using tools such as Jira, effectively prioritizing deliverables and resolving issues across distributed onsite and offshore teams.

Requirements

What you’ll need
  • Advanced English (C1 or above) reading, writing, and spoken communication with onsite and offshore stakeholders independently
  • IT experience, with experience in Business Intelligence, Data Engineering, or Analytics
  • Proven experience building and maintaining analytical models and dashboards in Power BI and Tableau
  • Advanced proficiency in SQL, including complex queries and regex usage
  • Strong command of Python for scripting and data process automation
  • Solid analytical skills to understand data, interpret business requirements, and translate them into actionable analytical solutions
  • Experience with Agile/Scrum methodologies and project management tools such as Jira
  • Strong prioritization, problem-solving, and end-to-end task management skills in dynamic, distributed team environments
  • Nice to Have
  • Knowledge of the Azure platform, particularly Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake
  • Broader familiarity with Azure cloud services and cloud-based data architecture patterns
  • Experience working within the Logistics or Supply Chain domain
  • Exposure to data governance and data quality practices in analytical environments

Benefits

Comp & perks
  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended paternity leave
  • Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
  • Profit Sharing and Results Participation (PLR);
  • Life insurance
  • Continuous learning platform (CI&T University);
  • Discount club
  • Free online platform dedicated to physical, mental, and overall well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online learning platforms
  • Language learning platform
  • And many more!